AI & Human-Powered Moderation to Safeguard Your Community & Brand
Innodata combines the power of machine learning technology with the precision of highly-trained subject matter experts to identify and classify inappropriate content. Our global network of skilled moderation specialists leverage best-in-class technology to classify, filter, and escalate risky content, in 35+ languages.
Publish User-Generated Content with Confidence
Our ML-enhanced content moderation platform can process all types of user-generated content (USG) to ensure it complies with your guidelines. Our in-house team of SMEs arbitrate questionable classifications to guarantee the right content is hosted by your site.
Visual Moderation
Visual content is fed into our trained computer vision model via API. Unwanted material is identified, classified, and escalated with a confidence level. Our expert content moderators assess and validate the ML model decision and a feedback loop from our moderators back to our ML promotes active learning.
- Images
- Videos
- GIFs
- Memes
- Live Streams
Text Moderation
Text is monitored through our API and ingested into our proprietary text moderation ML model. Inappropriate or unwanted content is flagged, assigned a confidence level, and validated by our expert content moderators. This QA process not only assures immediate high -quality for our clients, but also generates feedback for our models to continuously train and improve over time. Supporting 35+ languages and counting.
- Webpages
- Social Media Feeds
- Blogs
- Chat Forums
- User Reviews
Audio Moderation
Audio files are first processed through our speech-to-text transcription software and then run through our text moderation model, which interprets the media. Profane, threatening, or abusive language is escalated with a confidence level and verified by our in-house content moderation experts. We use precision and recall to measure quality and use feedback loops to promote active learning to continually improve.
- Podcasts
- Interviews
- Conversations
- Broadcasts
- Radio Shows
types of content
Protect Your Community and Your Brand
Monitor Content Across Diverse Model Classes
Detect, Filter & Block Lude Content
- Adult Content
- Pornography
- Violence
- Gore
- Weapons
- Fraud Images
- Blurred Images
- Extremism
- Drugs
- Alcohol
- Profane Explicit Language
- Threatening Speech
- Cyberbullying
- Hate
- Spam
- Scams
- Not Suitable for Work (NSFW)
- Content Unfit for Minors
- Suicidal Intent
- Abuse
Our Team of Data Experts
Our team is comprised of data experts, with years of developing strategies that enables companies to manage and distribute data using AI-based solutions. Book a time that works for you and let us help develop a custom solution for your unique needs.
Why Choose Innodata
Machine Learning
Our ML-enhanced content moderation platform is continually learning and adapting to monitor and recognize risky content in real-time for fast and scalable results.
Dedicated Global Workforce
We employ a highly skilled in-house workforce trained to identify questionable content 24/7 in 35+ languages. It is our explicit corporate policy that we not only comply with all legal requirements in the conduct of our business, but also act in accordance with high moral and ethical standards to create a healthy and safety for our employees.
Easy Integration
Innodata provides seamless integration into your desired workflow through our API.
Case Studies
Our Expertise at Work Across Diverse Industries
Innodata Expands Engagement With Leading Social Media Platform for up to $7.0 Million in AI Services for 2021
Innodata announced that it has signed an amendment to its statement of work with one of the world’s leading social media platforms to provide up to $7.0 million in AI services in 2021. The newly signed amendment represents a potential revenue expansion of up to 35x last year’s revenue with this leading social media platform that became an Innodata customer in the second quarter of 2020.
Social Media Monitoring for Suicide Intent
A government agency in Canada needed an AI solution to accurately assess public opinion on the topic of suicide through the analysis of online social media feeds. The agency required ongoing data on trends, as well as risk and protective factors associated with suicide-related behaviors among various population groups.
Online Gaming Platform Powers Down Inappropriate Content
A leading online gaming platform needed help reviewing vast amounts of chat logs line-by-line to determine if the content is appropriate for its all-ages audience.